SlideShare une entreprise Scribd logo
1  sur  24
Télécharger pour lire hors ligne
FROM WEATHER
TO BIG DATA
wetter.com breaks new ground
Munich, 28. November 2019
Dr. Stefan Bornemann, wetter.com GmbH
wetter.com
advertising solutions
weather content productions
weather & geo data products
Berlin
Constance
Munich
3
wetter.com
Desktop, iOS, Android
snowthority.com
Desktop, iOS, Android
Unique users per month
THREE PILLAR STRATEGY – FROM PUBLISHING TO DATA COMPANY
CONSUMER DATA
Data OptimizationAnalytics
wetter.com
5
MEDIA
WEATHER MATTERS
WEATHER IS A RELEVANT
BUSINESS FACTOR
WITH PRECIOUS
INSIGHTS
wetter.com
8
WEATHER EFFECTS FROM CUSTOMER`S PERSPECTIVE
WEATHER
AWARENESS ACTIONINTEREST DESIRE
MOOD
DESIRE
IMPACT OF ADVERTISING
CHOICE OF PRODUCT & BRAND
SHOPPING BASKET
CHECK-OUT
wetter.com
9
WEATHER EFFECTS FROM ENTREPRENEUR´S PERSPECTIVE
August 2018 warmer than 2017
2017 2018
„Ungewöhnlich heißes Wetter“
Ungewöhnliche Gewinnwarnung
aus Düsseldorf: Der Metro-
Ableger Ceconomy leidet mit
seinen Elektronikmärkten Media
Markt und Saturn unter den
Folgen der sommerlichen Hitze.
„Hornbach hat auch Wetter“
In den prominenten Kreis der
Händler, die sich aufgrund der
extremen Temperaturen von
ihrem Umsatzprognosen
verabschieden müssen, gesellt
sich jetzt auch Hornbach hinzu.
„Das liebe Wetter“
Gewinnwarnung und Kurssturz an
der Börse: Auch der Mode-
Onlinekonzern Zalando bemüht
das Wetterargument für die
rückläufige Nachfrage.
„Außergewöhnlich warmes
Wetter im zweiten Quartal“
Außergewöhnlich warmes Wetter
im zweiten Quartal 2018 hat
Nachfrage im Markt für große
Möbel spürbar zurückgehen
lassen.
wetter.com
10
WEATHER IS A KEY FEATURE AT ANY STAGE OF THE VALUE CHAIN
Planning Marketing CRMOperationsSourcing
BaseliningWetter-ContentForecasting Produkt-Faktor Prognose-Korrektur Wetter- Targeting Sales-Steuerung
Transaction /
POS Sales
Performance
€
wetter.com
DATA BUSINESS MODELS
Weather Location Audiences
Meta
vacation, holidays,
POIs, events, socio
Client
e.g. clicks, orders,
visits, bookings, …
Media Optimizer Geo InsightsBaselining Forecast Optimizer
Application & Optimization
Automated prediction & standardized targeting products
“Weather-based
Advertising”
“Specify weather
business impact“
“Analyze geo
audiences”
“Plan business
using weather”
11
Data Enrichment,
Big Data Analytics
Predictive Modelling
Forecast Optimizer
Customer:
Bakery chain
Problem:
High out-of-stock and overstocking ratio
Idea:
Optimization of existing autoregressive
forecasts by weather data
Goal:
Automatic integration of weather data via machine
learning
SETTING
wetter.com
13
wetter.com
14
LESS APPLE CAKE ON RAINY DAYS
0
2
4
6
8
10
12
14
16
0 5 10 15 20 25 30
salesperday
rainfall (mm)
15
WEATHER OPTIMIZED SALES FORECAST WITHIN THE SUPPLY CHAIN
Sales data
Sales
planning Order
ERP-System Forecast-Software Order proposal Production
Weather optimized forecast
Algorithm
Model-Training
wetter.com
16
RESULTS: 12 % FORECAST IMPROVEMENT
wetter.com
Mon WedTue Thur Fri SunSat
error overestimation underestimation
-12%
-8%
-20%
with weather
without weather
Sales numbers
Forecast with weather
Forecast without weather
Media Optimizer
Customer:
beverage company
Problem:
o highly weather dependent products
o advertising spendings with tremendous
waste coverage
Idea:
Targeting segments based on product and weather
Goal:
Standardized weather targeting for programmatic
advertsing + dynamic messaging + budget optimizing
SETTING
wetter.com
18
BOTTLED WATER SALES THROUGHOUT THE YEAR
19wetter.com
Weekly GfK Panel sales water segment (LEH, indexed)
1. HY
2018
1. HY
2019
-4%
99103
Data OptimizationAnalytics
REGIONAL WEATHER INDEX BASED ON GFK CONSUMER PANEL
Absatz
Temperatur
DMP|DSP|CDP
wetter.com
Raw data Mapping Model Index AdTech AdCampaign
20wetter.com
TARGETING ON PRODUCT AND DAILY BASIS FOR EVERY LOCATION
wetter.com
2019-06-10 2019-06-11 2019-06-12 2019-06-13 2019-06-14 2019-06-15 2019-06-16
temperature in °C
water index
sports drinks index
SUCCESS STORY: 26% CTR UPLIFT WITH WATER INDEX
22wetter.com
Click CTRImpressions
without targeting
with targeting index – very high
WATER
BRAND
2.5% 3.1%
+26%
WHAT IS THIS ALL ABOUT?
WEATHER /
METEOROLOGY
DATA SCIENCE
help to avoid risks
analyses & forecasts
weather is a big business factor
data evaluation
weather is not just weather
help to make the right decisions
ask the right questions
weather is not a force majeure
weather is the missing key to understand the business
24
OUR GOALS
 cross the bridge from publisher to data
company
 we want to be data driven in all
aspects
 we want to grow and enter new
markets
 we want to extend our culture of
responsibility
25
Thank you!
stefan.bornemann@wetter.com
+49 89 412 007 272

Contenu connexe

Similaire à From weather to big data by Stefan Bornemann

Ideenwerkstatt quarterly 2014_13_eng
Ideenwerkstatt quarterly 2014_13_engIdeenwerkstatt quarterly 2014_13_eng
Ideenwerkstatt quarterly 2014_13_eng
ICV_eV
 

Similaire à From weather to big data by Stefan Bornemann (20)

Nrb Mainframe Day - z Data and AI - Michael Boeckx
Nrb Mainframe Day - z Data and AI - Michael BoeckxNrb Mainframe Day - z Data and AI - Michael Boeckx
Nrb Mainframe Day - z Data and AI - Michael Boeckx
 
EW-Shopp: Supporting Event and Weather-based Data Analytics and Marketing alo...
EW-Shopp: Supporting Event and Weather-basedData Analytics and Marketing alo...EW-Shopp: Supporting Event and Weather-basedData Analytics and Marketing alo...
EW-Shopp: Supporting Event and Weather-based Data Analytics and Marketing alo...
 
How IoT and weather data are transforming business decisions
How IoT and weather data are transforming business decisionsHow IoT and weather data are transforming business decisions
How IoT and weather data are transforming business decisions
 
A New Era of Addressable Audiences
A New Era of Addressable AudiencesA New Era of Addressable Audiences
A New Era of Addressable Audiences
 
Innovative risk solutions using big data
Innovative risk solutions using big dataInnovative risk solutions using big data
Innovative risk solutions using big data
 
Innogy - data als inspiratie - jachtdag
Innogy - data als inspiratie - jachtdagInnogy - data als inspiratie - jachtdag
Innogy - data als inspiratie - jachtdag
 
Burt Presentation
Burt PresentationBurt Presentation
Burt Presentation
 
AD-Pure
AD-PureAD-Pure
AD-Pure
 
TC19_HandsOn_Session_FINAL.pptx
TC19_HandsOn_Session_FINAL.pptxTC19_HandsOn_Session_FINAL.pptx
TC19_HandsOn_Session_FINAL.pptx
 
Insight form the Global C-Suite Study: The CMO point of view
Insight form the Global C-Suite Study: The CMO point of view  Insight form the Global C-Suite Study: The CMO point of view
Insight form the Global C-Suite Study: The CMO point of view
 
Why Mobile Is The Future Of Customer Engagement
Why Mobile Is The Future Of Customer EngagementWhy Mobile Is The Future Of Customer Engagement
Why Mobile Is The Future Of Customer Engagement
 
MPG Manufacturing Software Market Snapshot - July 2020
MPG Manufacturing Software Market Snapshot - July 2020MPG Manufacturing Software Market Snapshot - July 2020
MPG Manufacturing Software Market Snapshot - July 2020
 
Supply Chain as a core differentiator: What does digitalization mean to the c...
Supply Chain as a core differentiator: What does digitalization mean to the c...Supply Chain as a core differentiator: What does digitalization mean to the c...
Supply Chain as a core differentiator: What does digitalization mean to the c...
 
Industry 4.0
Industry 4.0Industry 4.0
Industry 4.0
 
Global print during Covid-19
Global print during Covid-19Global print during Covid-19
Global print during Covid-19
 
Big Data, customer analytics and loyalty marketing
Big Data, customer analytics and loyalty marketingBig Data, customer analytics and loyalty marketing
Big Data, customer analytics and loyalty marketing
 
Ideenwerkstatt quarterly 2014_13_eng
Ideenwerkstatt quarterly 2014_13_engIdeenwerkstatt quarterly 2014_13_eng
Ideenwerkstatt quarterly 2014_13_eng
 
Covid-19 Outbreak: FMCG Spending on Analytics Market By Companies, Region, Ty...
Covid-19 Outbreak: FMCG Spending on Analytics Market By Companies, Region, Ty...Covid-19 Outbreak: FMCG Spending on Analytics Market By Companies, Region, Ty...
Covid-19 Outbreak: FMCG Spending on Analytics Market By Companies, Region, Ty...
 
30 second strategies (no.5) - Why Amazon Doesn't Care About Property Insurance
30 second strategies (no.5) - Why Amazon Doesn't Care About Property Insurance30 second strategies (no.5) - Why Amazon Doesn't Care About Property Insurance
30 second strategies (no.5) - Why Amazon Doesn't Care About Property Insurance
 
Ibm ronald teijken
Ibm ronald teijkenIbm ronald teijken
Ibm ronald teijken
 

Dernier

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Dernier (20)

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 

From weather to big data by Stefan Bornemann

  • 1. FROM WEATHER TO BIG DATA wetter.com breaks new ground Munich, 28. November 2019 Dr. Stefan Bornemann, wetter.com GmbH wetter.com
  • 2. advertising solutions weather content productions weather & geo data products Berlin Constance Munich 3 wetter.com Desktop, iOS, Android snowthority.com Desktop, iOS, Android Unique users per month
  • 3. THREE PILLAR STRATEGY – FROM PUBLISHING TO DATA COMPANY CONSUMER DATA Data OptimizationAnalytics wetter.com 5 MEDIA
  • 5. WEATHER IS A RELEVANT BUSINESS FACTOR WITH PRECIOUS INSIGHTS
  • 6. wetter.com 8 WEATHER EFFECTS FROM CUSTOMER`S PERSPECTIVE WEATHER AWARENESS ACTIONINTEREST DESIRE MOOD DESIRE IMPACT OF ADVERTISING CHOICE OF PRODUCT & BRAND SHOPPING BASKET CHECK-OUT
  • 7. wetter.com 9 WEATHER EFFECTS FROM ENTREPRENEUR´S PERSPECTIVE August 2018 warmer than 2017 2017 2018 „Ungewöhnlich heißes Wetter“ Ungewöhnliche Gewinnwarnung aus Düsseldorf: Der Metro- Ableger Ceconomy leidet mit seinen Elektronikmärkten Media Markt und Saturn unter den Folgen der sommerlichen Hitze. „Hornbach hat auch Wetter“ In den prominenten Kreis der Händler, die sich aufgrund der extremen Temperaturen von ihrem Umsatzprognosen verabschieden müssen, gesellt sich jetzt auch Hornbach hinzu. „Das liebe Wetter“ Gewinnwarnung und Kurssturz an der Börse: Auch der Mode- Onlinekonzern Zalando bemüht das Wetterargument für die rückläufige Nachfrage. „Außergewöhnlich warmes Wetter im zweiten Quartal“ Außergewöhnlich warmes Wetter im zweiten Quartal 2018 hat Nachfrage im Markt für große Möbel spürbar zurückgehen lassen.
  • 8. wetter.com 10 WEATHER IS A KEY FEATURE AT ANY STAGE OF THE VALUE CHAIN Planning Marketing CRMOperationsSourcing BaseliningWetter-ContentForecasting Produkt-Faktor Prognose-Korrektur Wetter- Targeting Sales-Steuerung Transaction / POS Sales Performance €
  • 9. wetter.com DATA BUSINESS MODELS Weather Location Audiences Meta vacation, holidays, POIs, events, socio Client e.g. clicks, orders, visits, bookings, … Media Optimizer Geo InsightsBaselining Forecast Optimizer Application & Optimization Automated prediction & standardized targeting products “Weather-based Advertising” “Specify weather business impact“ “Analyze geo audiences” “Plan business using weather” 11 Data Enrichment, Big Data Analytics Predictive Modelling
  • 11. Customer: Bakery chain Problem: High out-of-stock and overstocking ratio Idea: Optimization of existing autoregressive forecasts by weather data Goal: Automatic integration of weather data via machine learning SETTING wetter.com 13
  • 12. wetter.com 14 LESS APPLE CAKE ON RAINY DAYS 0 2 4 6 8 10 12 14 16 0 5 10 15 20 25 30 salesperday rainfall (mm)
  • 13. 15 WEATHER OPTIMIZED SALES FORECAST WITHIN THE SUPPLY CHAIN Sales data Sales planning Order ERP-System Forecast-Software Order proposal Production Weather optimized forecast Algorithm Model-Training wetter.com
  • 14. 16 RESULTS: 12 % FORECAST IMPROVEMENT wetter.com Mon WedTue Thur Fri SunSat error overestimation underestimation -12% -8% -20% with weather without weather Sales numbers Forecast with weather Forecast without weather
  • 16. Customer: beverage company Problem: o highly weather dependent products o advertising spendings with tremendous waste coverage Idea: Targeting segments based on product and weather Goal: Standardized weather targeting for programmatic advertsing + dynamic messaging + budget optimizing SETTING wetter.com 18
  • 17. BOTTLED WATER SALES THROUGHOUT THE YEAR 19wetter.com Weekly GfK Panel sales water segment (LEH, indexed) 1. HY 2018 1. HY 2019 -4% 99103
  • 18. Data OptimizationAnalytics REGIONAL WEATHER INDEX BASED ON GFK CONSUMER PANEL Absatz Temperatur DMP|DSP|CDP wetter.com Raw data Mapping Model Index AdTech AdCampaign 20wetter.com
  • 19. TARGETING ON PRODUCT AND DAILY BASIS FOR EVERY LOCATION wetter.com 2019-06-10 2019-06-11 2019-06-12 2019-06-13 2019-06-14 2019-06-15 2019-06-16 temperature in °C water index sports drinks index
  • 20. SUCCESS STORY: 26% CTR UPLIFT WITH WATER INDEX 22wetter.com Click CTRImpressions without targeting with targeting index – very high WATER BRAND 2.5% 3.1% +26%
  • 21. WHAT IS THIS ALL ABOUT?
  • 22. WEATHER / METEOROLOGY DATA SCIENCE help to avoid risks analyses & forecasts weather is a big business factor data evaluation weather is not just weather help to make the right decisions ask the right questions weather is not a force majeure weather is the missing key to understand the business 24
  • 23. OUR GOALS  cross the bridge from publisher to data company  we want to be data driven in all aspects  we want to grow and enter new markets  we want to extend our culture of responsibility 25